Python: Deeper Insights into Machine Learning

Scikit-learn

This includes algorithms for the most common machine learning tasks, such as classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.

Scikit-learn comes with several real-world data sets for us to practice with. Let's take a look at one of these—the Iris data set:

from sklearn import datasets
iris = datasets.load_iris()
iris_X = iris.data
iris_y = iris.target
iris_X.shape
(150, 4)

The data set contains 150 samples of three types of irises (Setosa, Versicolor, and Virginica), each with four features. We can get a description on the dataset:

iris.DESCR

We can see that the four attributes, or features, are sepal width, sepal length, petal length, and petal width in centimeters. Each sample ...